Job Title: Senior Data Analyst Lead
Location: Pittsburgh
Employment Type: Full-Time
Role Overview
We are seeking a Senior Data Analyst Lead with deep Banking domain experience and strong hands-on expertise in SQL and Python. This role will focus on analyzing large-scale transaction data, deriving business insights, and supporting decision-making.
The ideal candidate will combine strong technical skills with a solid understanding of Payments operations, compliance, and risk controls within a banking environment.
Key Responsibilities
Analyze large volumes of transaction data to identify trends, anomalies, and business insights.
Write complex, high-performance queries using advanced SQL (joins, CTEs, window functions, performance tuning).
Develop data transformation and analytics scripts using Python (Pandas, NumPy, data wrangling).
Create dashboards, reports, and performance metrics for business stakeholders.
Partner with Payments, Risk, Compliance, and Operations teams to support reporting and data-driven initiatives.
Perform data validation, reconciliation, and quality checks across Payments systems.
Support regulatory and operational reporting requirements.
Document business logic, data definitions, and analytics methodologies.
Required Skills & Experience
8-10 years of experience as a Data Analyst, with strong exposure to Banking.
Advanced proficiency in SQL (query optimization and large dataset handling).
Strong programming skills in Python for data analysis and automation.
Experience working with data warehouses and large transactional databases.
Strong analytical thinking and problem-solving skills.
Excellent stakeholder communication and documentation skills.
Preferred Qualifications
Experience with BI tools (Tableau, Power BI).
Exposure to fraud analytics, AML, or transaction monitoring systems.
Experience working in regulated banking environments.
Familiarity with Spark or distributed data processing frameworks.
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